海地与秘鲁对比
海地与秘鲁:热带夜
2014 年热带夜:海地为 298.9 夜,秘鲁为 164.5 夜(CMIP6 气候模型中位数模拟)。 2014 年海地的数值较高,高出 134.4 夜,是秘鲁的 1.82 倍。
每年夜数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,海地的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年海地为 346.8 夜,秘鲁为 192.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 海地 | 秘鲁 |
|---|---|---|
| 2014 | 298.9 | 164.5 |
| 2013 | 301.1 | 163.1 |
| 2012 | 301.5 | 164.8 |
| 2011 | 301 | 164.3 |
| 2010 | 298.6 | 163.3 |
| 2009 | 298.7 | 162.3 |
| 2008 | 296.4 | 162 |
| 2007 | 293.6 | 159.8 |
| 2006 | 294.2 | 159.1 |
| 2005 | 295.3 | 159.3 |
| 2004 | 298 | 161.8 |
| 2003 | 295.4 | 160.5 |
| 2002 | 295.6 | 159.9 |
| 2001 | 296 | 160.7 |
| 2000 | 291 | 158 |
| 1999 | 290.8 | 155.7 |
| 1998 | 291.4 | 157.4 |
| 1997 | 288 | 156.1 |
| 1996 | 287 | 152.2 |
| 1995 | 283.1 | 152.1 |
| 1994 | 282.6 | 150.8 |
| 1993 | 278.8 | 148.5 |
| 1992 | 277.7 | 144 |
| 1991 | 286.2 | 156 |
| 1990 | 291.1 | 158.3 |
| 1989 | 286.3 | 153.2 |
| 1988 | 282.7 | 151.2 |
| 1987 | 282.9 | 152 |
| 1986 | 281 | 153.4 |
| 1985 | 277.9 | 149 |
| 1984 | 277.7 | 148.3 |
| 1983 | 276.1 | 145.4 |
| 1982 | 280.4 | 151.4 |
| 1981 | 281.3 | 153.1 |
| 1980 | 280.2 | 150.9 |
| 1979 | 280.2 | 150.5 |
| 1978 | 277.8 | 149.1 |
| 1977 | 280.4 | 150.3 |
| 1976 | 276 | 147.5 |
| 1975 | 275.1 | 142.1 |
| 1974 | 278.1 | 148.6 |
| 1973 | 278.3 | 151.5 |
| 1972 | 276.6 | 147.6 |
| 1971 | 275.5 | 145.7 |
| 1970 | 272.2 | 145.6 |
| 1969 | 275.5 | 147 |
| 1968 | 274.5 | 146 |
| 1967 | 275 | 142.3 |
| 1966 | 277.8 | 145.7 |
| 1965 | 274.1 | 143.3 |
| 1964 | 274.8 | 141.6 |
| 1963 | 274.2 | 135.9 |
| 1962 | 278.6 | 148.9 |
| 1961 | 278.2 | 146.5 |
| 1960 | 278.2 | 149.8 |
| 1959 | 278.6 | 146.1 |
| 1958 | 281.6 | 149.1 |
| 1957 | 278 | 148.7 |
| 1956 | 277.9 | 144 |
| 1955 | 280.7 | 148.3 |
| 1954 | 277.6 | 148.7 |
| 1953 | 276.8 | 148.2 |
| 1952 | 279.7 | 148.1 |
| 1951 | 277.9 | 147.2 |
| 1950 | 276.8 | 147.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 海地 | 秘鲁 |
|---|---|---|
| 2015 | 305.5285.9–322.7 | 164.3148.5–174.9 |
| 2016 | 306288.9–319.7 | 163.4149.8–171.5 |
| 2017 | 307.5292–322.8 | 165.5155–175.2 |
| 2018 | 308.8294.3–322.5 | 165152.9–176.6 |
| 2019 | 307.1290.7–322.4 | 163.7151–176.8 |
| 2020 | 307.4293.2–321.3 | 165.3151.6–176.2 |
| 2021 | 311.8296.6–324.5 | 167.6154.7–177.3 |
| 2022 | 312.1298–329.1 | 169.5156.6–179.2 |
| 2023 | 311.6297.9–324.7 | 167.1156.3–178.4 |
| 2024 | 312.3294.2–326.9 | 170.6157.3–180.2 |
| 2025 | 314.6291.3–328.7 | 168.6155–179.9 |
| 2026 | 316.3297.5–332.3 | 167.8153.3–179.7 |
| 2027 | 316.4293.9–332.7 | 168.3155.2–178.8 |
| 2028 | 316.4299.6–334.9 | 169.8158.3–179.9 |
| 2029 | 316.5298.3–333.6 | 174162.8–181.7 |
| 2030 | 314.8301.6–331.6 | 168.1153.2–180.6 |
| 2031 | 317.8303.5–333.7 | 172.5156.2–183.7 |
| 2032 | 321.4303.7–333.1 | 173.2162.7–184.7 |
| 2033 | 319.5302–332.4 | 172156.5–181 |
| 2034 | 319.5298.9–337.1 | 171.6158.7–185.6 |
| 2035 | 322.6304.3–335.1 | 172159.3–184.1 |
| 2036 | 321.3304.1–335.4 | 172.5160.7–183.2 |
| 2037 | 325310.6–336 | 175.6166.3–185.3 |
| 2038 | 322305.4–338.2 | 175.8164.6–184.9 |
| 2039 | 322.3305.5–339.8 | 174.1162.7–185 |
| 2040 | 324.1309.7–338.7 | 175.4163.9–187 |
| 2041 | 323.8310.9–339.7 | 176.5165.3–186.1 |
| 2042 | 325307.1–339.2 | 176.3161.9–189.7 |
| 2043 | 325.4306.3–339.9 | 174.8163.7–185.3 |
| 2044 | 326.8308.2–345.7 | 175.3161.9–188.2 |
| 2045 | 327312.5–341.6 | 177.3165.5–186.9 |
| 2046 | 330.7312.9–342.1 | 180.3167.4–189.9 |
| 2047 | 327.3313.3–343.2 | 178.6167.5–189 |
| 2048 | 331.4313.9–344.2 | 181.2168.2–192.2 |
| 2049 | 333.3314.4–344.6 | 180.4168.1–189.8 |
| 2050 | 331.2312.1–348 | 178.6166.4–190.8 |
| 2051 | 331.4314–342.3 | 180.3168.5–190.6 |
| 2052 | 331.5314.8–346 | 181.5170.8–191.7 |
| 2053 | 332.8314.2–342.8 | 179.5168.3–190.8 |
| 2054 | 331.7315.8–348.4 | 180.1167.3–193.9 |
| 2055 | 331.2317.8–348.8 | 181.7171–194.8 |
| 2056 | 330317.4–348.3 | 182.2170–193 |
| 2057 | 335.7314–347.6 | 181.6168.7–193 |
| 2058 | 335.3316.4–350.6 | 183.1169.4–195.5 |
| 2059 | 336.7319.6–349 | 184.6169.7–195.3 |
| 2060 | 337.6318.4–350 | 185.6171.1–197.1 |
| 2061 | 336.4318.8–349.6 | 182.7169.9–195.8 |
| 2062 | 336.1317.5–349.7 | 184.3168.7–196.9 |
| 2063 | 338320.8–354 | 184.6170.8–196.9 |
| 2064 | 336.6319.4–350.9 | 184.4170.1–194.8 |
| 2065 | 335.5318.9–349 | 186.3173.3–196.9 |
| 2066 | 338.8321.1–351.7 | 185.6172.3–197.4 |
| 2067 | 337.2317.8–350.8 | 184.3169.4–198.2 |
| 2068 | 340.4321.9–353.8 | 186.1172.1–198.3 |
| 2069 | 337.2320.2–351.6 | 184.9169–198.3 |
| 2070 | 339.5319.8–351.4 | 185.4171.8–198.4 |
| 2071 | 339.8320.1–353.6 | 187.3173.3–198.7 |
| 2072 | 342.6319.9–353.2 | 188.1174.9–199.8 |
| 2073 | 340.9320.2–353.6 | 187.6175.9–202.1 |
| 2074 | 340.9324.7–353.4 | 186.4169.5–198.9 |
| 2075 | 338.8321.7–353.5 | 186.4170.6–198.3 |
| 2076 | 344.1322–355.4 | 188.8174.2–201 |
| 2077 | 340.8321.6–354 | 189.1174.7–201.8 |
| 2078 | 340.6325.1–354.5 | 188.4175.6–202.3 |
| 2079 | 341.6323.7–354.4 | 188172–199.7 |
| 2080 | 340.3322.6–354.3 | 189.1172.8–201.7 |
| 2081 | 340322.6–353.4 | 188.4173.6–201.8 |
| 2082 | 342.4326.5–353.5 | 188.8174.8–199.7 |
| 2083 | 342.2326.4–352.5 | 189.9175.7–204.7 |
| 2084 | 345.5326.2–354.6 | 190.7176.3–204.4 |
| 2085 | 344325–355.4 | 192176.2–204.6 |
| 2086 | 344.9326.6–355.1 | 189.1175.4–204 |
| 2087 | 342.6322.5–354.4 | 189.1175.9–203.6 |
| 2088 | 342.5328.2–356.1 | 191.1174.7–204.9 |
| 2089 | 345.8326.6–358 | 190.1174.3–203 |
| 2090 | 343.2328.2–355.8 | 190.4177–206.2 |
| 2091 | 344.7323.1–357.7 | 192.6174.4–205.9 |
| 2092 | 346.5326.6–356.5 | 192.6176.6–204.7 |
| 2093 | 341.4324.8–356.7 | 190.6176–206 |
| 2094 | 341.4327.9–355.8 | 192.3178.2–204.1 |
| 2095 | 345.6326.2–356.1 | 193.4176.5–207.3 |
| 2096 | 344327.2–358.3 | 191.4176.2–207.6 |
| 2097 | 344.2330–356.7 | 190.7174.9–202.2 |
| 2098 | 343.8324.3–358.4 | 192.9177.8–208.9 |
| 2099 | 346.6323.1–358.1 | 191.5176.8–205 |
| 2100 | 346.8326.2–356.3 | 192.3176.6–205.6 |
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须知
- 一年中气温始终高于 20 °C 的夜晚数,取全国平均。
- 来源:World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
- 虚线为CMIP6 模型中位数(SSP2-4.5,中间路径),是一种情景而非预报;阴影带为其模型第 10–90 百分位。
- 气候模型值为 CMIP6 各模型的中位数:2014 年及以前按历史排放模拟,此后按中间路径 SSP2-4.5 模拟;它们并非实测数据。
各图层如何运作、数据从何而来,以及它们无法告诉你什么: 历年各国数据
海地与秘鲁对比
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军用
- 军费开支海地:2025 年为 GDP 的 0.12%秘鲁:2025 年为 GDP 的 0.81%
- 军费开支(美元)海地:2025 年为 US$3040万秘鲁:2025 年为 US$24.3亿
- 人均军费开支海地:2025 年为 US$3秘鲁:2025 年为 US$75
- 军费占政府支出比例海地:2025 年为 2.4%(占政府支出)秘鲁:2025 年为 3.7%(占政府支出)
- 武装部队人员海地:2020 年为 1,000 人秘鲁:2020 年为 158,000 人
- 国家实力海地:2022 年为 0.05%(占全球实力)秘鲁:2022 年为 0.28%(占全球实力)
- 武装部队占劳动力比例海地:2020 年为 0.02%(占劳动力)秘鲁:2020 年为 0.94%(占劳动力)
- 武器进口海地:2025 年为 100万 TIV秘鲁:2025 年为 9000万 TIV